SVR-based prediction of carbon emissions from energy consumption in Henan Province

3rd International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Gou, Guohua^1

Department of Modern Management, Zhengzhou Technical College, Zhengzhou, China^1

关键词: Average annual growth rates;    Carbon emission reductions;    Carbon emissions;    Coal consumption;    Henan Province;    Per unit;    Prediction model;    Support vector regression (SVR);   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/113/1/012052/pdf
DOI  :  10.1088/1755-1315/113/1/012052

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper analyzes the advantage of support vector regression (SVR) in the prediction of carbon emission and establishes the SVR-based carbon emission prediction model. The model is established using the data of Henan's carbon emissions and influence factors from the 1991 to 2016 to train and test and then predict the carbon emissions from 2017 to 2021. The results show that: from the perspective of carbon emission from energy consumption, it raised 224.876 million tons of carbon dioxide from 1991 to 2016, and the predicted increment from 2017 to 2021 is 30.5563million tons with an average annual growth rate at 3%. From the perspective of growth rate among the six factors related to carbon emissions it is proved that population urbanization rate per capital GDP and energy consumption per unit of GDP influences the growth rate of carbon emissions less than the proportion of secondary industry and coal consumption ratio of carbon. Finally some suggestions are proposed for the carbon emission reduction of Henan Province.